X. Sanz

723 citations
32 papers · 455 indexed · h-index 11

Impact in

Papers in

X. Sanz

31 papers receiving 452 citations

Peers

X. Sanz
Comparison fields: 5 of 69
  • Otorhinolaryngology 69
  • Radiation 108
  • Cancer Research 168
  • Radiology, Nuclear Medicine and Imaging 135
  • Oncology 136
Replace João Luís Fernandes da Silva with:
João Luís Fernandes da Silva Brazil
Thi Trinh Thuc Vu Canada
Lea Choung Wong Singapore
Eyad Abu‐Isa United States
Stephen Greco United States
Sara Falivene Italy
Caitlin A. Schonewolf United States
Poompis Pattaranutaporn Thailand
Alice Zamagni Italy
J. McAleese United Kingdom
X. Sanz relative to João Luís Fernandes da Silva Brazil João Luís Fernandes da Silva's profile →
Citations per field
00.5×1.6×
João Luís Fernandes da Silva · 1×
Citations per year

Countries citing papers authored by X. Sanz

Since Specialization
Citations

This map shows the geographic impact of X. Sanz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by X. Sanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Sanz more than expected).

Fields of papers citing papers by X. Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X. Sanz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by X. Sanz. The network helps show where X. Sanz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside X. Sanz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with X. Sanz Line = papers co-authored together X. Sanz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20223
3 202120
4 20205
5 201910
6 201912
7 20176
8 20174
9 20178
10 20174
11 20165
12 201611
13 201436
14 201417
15 2013121
16 20114
17 20101
18 200845
19 20078
20 200035

About X. Sanz

X. Sanz is a scholar working on Cancer Research, Applied Microbiology and Biotechnology, Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 455 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Lung Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer Genomics and Diagnostics (5 papers), Breast Lesions and Carcinomas (4 papers), Global Cancer Incidence and Screening (4 papers), Effects of Radiation Exposure (4 papers) and Breast Implant and Reconstruction (4 papers). The work is most often cited by research in Otorhinolaryngology (69 citations), Radiation (108 citations), Cancer Research (168 citations), Radiology, Nuclear Medicine and Imaging (135 citations) and Oncology (136 citations). X. Sanz has collaborated with scholars based in Spain, United States and Qatar. Frequent co-authors include M. Algara, I. Membrive, P. Foro, Núria Rodríguez, A. Reig, J. Lozano, E. Fernández-Velilla, J. Quera, Josepa Ribes and L. Pareja. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Clinical & Translational Oncology, Radiotherapy and Oncology, The Breast and Clinical Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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